Head of Locomotion & Controls; Humanoid Robot

VinDynamics4 months ago
Reno, NV, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Position: Head of Locomotion & Controls (Humanoid Robot)

About Vin Dynamics

At Vin Dynamics, we design safe, affordable, and intelligent humanoid robots to assist in everyday life — robots for everyone. Backed by Vin Group, Vietnam’s leading technology conglomerate, we are on a mission to make advanced robotics accessible, reliable, and beneficial for billions of people worldwide. By combining cutting-edge AI, world-class engineering, and human-centered design, we aim to seamlessly integrate robots into daily life — enhancing safety, productivity, and happiness at home and beyond.

Overview

  • Position: Head of Locomotion & Controls (Humanoid Robot)
  • Company: Vin Dynamics
  • Division - Department: Research and Development
  • Report to: Director of Research and Development
  • Location: Reno, Nevada, USA

Responsibilities

  • Define the vision and roadmap for the Mobility Robotics stack, covering locomotion, navigation, motion planning, control, and the full mobility intelligence layer of the robot
  • Build and lead a high-performing Mobility Robotics team, combining robotics software engineers, control engineers, and reinforcement learning engineers
  • Collaborate closely with Mechanical, Electronics/Firmware, SLAM and Navigation, and Systems Engineering teams to ensure seamless end-to-end integration between mobility software and the full robot system
  • Stay ahead of industry and academic advances in locomotion, dynamic control, navigation, and autonomous mobility to shape R&D priorities and long-term technology strategy
  • Ensure real-time, safe, and robust mobility performance in complex, unstructured, and continuously changing environments

Relevant Education and Experience

  • Master’s or PhD in Computer Science, Robotics, or related fields
  • Minimum 5 years working in robotics software
  • Strong background in robot dynamics, kinematics, and control theory, including optimal control and nonlinear systems
  • Advanced experience with reinforcement learning and imitation learning for mobility and locomotion
  • Hands‑on experience with model‑based controllers such as MPC, WBC, or impedance control
  • Experience with physics‑based simulation such as Bullet Sim, Mujoco, Isaac Lab
  • Experience integrating perception such as vision and depth into locomotion

Personality / Attitude

  • Strong interpersonal, organizational, and leadership skills
  • Proactive, dedicated, business‑oriented, responsible, and willing to learn
  • Good communication skills, creative problem‑solving skills, and attention to detail

Required Skills

Model-based Controllers (MPC, WBC, Impedance Control)
Control Theory
Robot Dynamics
Kinematics
Physics-based Simulation (Bullet Sim, Mujoco, Isaac Lab)
Robotics Software Engineering
Imitation Learning
Integrated Perception (Vision and Depth)
Reinforcement Learning